How can perceived consistency in marketing communications influence customer–brand relationship outcomes?

This paper examines the impact of perceived consistency in marketing communications on customer–brand relationship outcomes. The perception of consistent message and image through different marketing communication tools is one of the basic principles of the integrated marketing communications (IMC) approach. Although literature suggests that IMC might have an influence on customer–brand relationship outcomes, empirical evidence that supports this assumption is still weak and inconclusive. Three main brand relationship outcomes are established for the purpose of the study, i.e. trust, commitment, and loyalty. The relationships between perceived communication consistency and brand outcomes are examined in a hospitality context on a sample of 452 respondents who had to evaluate fast-food brands. Structural Equation Modelling was employed as the main technique for data analysis using Partial Least Squares (PLS). Results reveal that communication consistency has a strong direct impact on brand trust and brand loyalty. Although its influence on affective brand commitment is found to be positive, it is not statistically significant. The interrelationship between three brand relationship outcomes is also corroborated. The study contributes to our understanding of the role of IMC in the relationship marketing paradigm and provides deeper insights into the impact of communication consistency on different relationship outcomes with fast-food brands.     

Nonlinear Censored Regression Using Synthetic Data

Abstract.  The problem of estimating a nonlinear regression model, when the dependent variable is randomly censored, is considered. The parameter of the model is estimated by least squares using synthetic data. Consistency and asymptotic normality of the least squares estimators are derived. The proofs are based on a novel approach that uses i.i.d. representations of synthetic data through Kaplan–Meier integrals. The asymptotic results are supported by a small simulation study.     

On asymptotic properties of Bayesian partially linear models

In this paper, we present large sample properties of a partially linear model from the Bayesian perspective, in which responses are explained by the semiparametric regression model with the additive form of the linear component and the nonparametric component. For this purpose, we investigate asymptotic behaviors of posterior distributions in terms of consistency. Specifically, we deal with a specific Bayesian partially linear regression model with additive noises in which the nonparametric component is modeled using Gaussian process priors. Under the Bayesian partially linear model using Gaussian process priors, we focus on consistency of posterior distribution and consistency of the Bayes factor, and extend these results to generalized additive regression models and study their asymptotic properties. In addition we illustrate the asymptotic properties based on empirical analysis through simulation studies.     

Statistical Analysis of Non Linear Least Squares Estimation for Harmonic Signals in Multiplicative and Additive Noise

Abstract

This article concerns the stochastically constrained linear model under a biased assumption. We propose a quasi-stochastically constrained least squares estimator. Furthermore, we provide the expectation of this estimator, demonstrate its consistency and asymptotic normality. In the end of the article, the simulation study of the new estimator shows that it is superior to the least squares estimator, ridge estimator, and the linear constrained estimators under certain conditions by comparing the mean squared errors of these estimators.     

Inference for Box–Cox Transformed Threshold GARCH Models with Nuisance Parameters

Abstract. Generalized autoregressive conditional heteroscedastic (GARCH) models have been widely used for analyzing financial time series with time‐varying volatilities. To overcome the defect of the Gaussian quasi‐maximum likelihood estimator (QMLE) when the innovations follow either heavy‐tailed or skewed distributions, Berkes & Horváth (Ann. Statist., 32, 633, 2004) and Lee & Lee (Scand. J. Statist. 36, 157, 2009) considered likelihood methods that use two‐sided exponential, Cauchy and normal mixture distributions. In this paper, we extend their methods for Box–Cox transformed threshold GARCH model by allowing distributions used in the construction of likelihood functions to include parameters and employing the estimated quasi‐likelihood estimators (QELE) to handle those parameters. We also demonstrate that the proposed QMLE and QELE are consistent and asymptotically normal under regularity conditions. Simulation results are provided for illustration.     

Weak consistency of M-estimator in linear regression model with asymptotically almost negatively associated errors

Abstract

This paper studies a linear regression model with asymptotically almost negatively associated (AANA, in short) random errors. Under some mild conditions, the weak consistency of M-estimator of the unknown parameter is investigated, which extend the corresponding results for independent random errors and negatively associated (NA, in short) random errors. At last, two simulation examples are presented to verify the weak consistency of M-estimator in the model.     

On limiting distribution laws of statistics analogous to pearson's chi-square

Two test-statistics analogous to Pearson's chi-square test function - given in (1.6) and (1.7) - are investigated. These statistics utilize, apart from the number of sample elements lying in the respective intervals of the partition, their positions within the intervals too. It is shown that the test-statistics are asymptotically distributed - as the sample size N tends to infinity - according to the x ²distribution with parameter r, i.e. the number of intervals chosen. The limiting distribution of the test statistics under the null-hypothesis when N tends to the infinity and r =O(N ^α) (0<α<1), further the consistency of the tests based on these statistics is considered. Some remarks are made concerning the efficiency of the corresponding goodness of fit tests also; the authors intend to return to a more detailed treatment of the efficiency later.     

提高网球初学者击球稳定性的探讨

击球不稳定是网球初学者在开始接触网球运动时所面临的一个困惑。本文就如何提高网球初学者击球的稳定性，从握拍方式、协调发力、预判能力、击球后完整随挥、眼睛盯球、注意力集中等方面进行了简要探讨。     

谈伦理道德体系中德性与德行的动态关系

德性是一个人之所以为人的规范的根本把握和具体践履。德性作为一种内在的品质之育化,其相对稳定性直接表现为个体知行合一的深切体验。但随着市场经济对社会意识和德性成就条件的改变,人们的道德行为常常不能与我们所了解的一个人的德性想一致,甚至相反。因此,本文主要阐述德性与德行之间的动态关系,即一致性和非一致性及其原因,从而为找出一条提高道德教育实效性。构建和谐社会的途径和方法提供理论上的支持。